Contents
Geoffrey Hinton
Helping establish deep learning and the neural networks behind modern artificial intelligence.
Backpropagation research · AlexNet
- Born
- 6 December 1947
- Birthplace
- London, United Kingdom
More people
Geoffrey Hinton
British-Canadian researcher whose work on learning algorithms earned a Turing Award and the 2024 Nobel Prize in Physics.
Early life
Changing subjects
Studied several subjects at Cambridge before graduating in experimental psychology.
AI doctorate
Completed doctoral research at the University of Edinburgh.
Career
- 1970s–1980s
Neural-network research
Worked in Britain and the US before joining the University of Toronto.
- 1990s–2010s
Deep learning
Developed learning methods and trained researchers behind major advances.
- 2013–2023
Google and Toronto
Combined industry and university work before leaving Google to speak openly about AI risks.
Contributions
Backpropagation research
Co-authored influential work showing how multilayer networks could learn useful representations.
AlexNet
Worked with Alex Krizhevsky and Ilya Sutskever on a breakthrough image-recognition system.
Nobel Prize in Physics
Shared the award with John Hopfield for neural-network foundations.
Beyond research
Teaching
Mentored researchers who helped shape modern machine learning.
AI risks
Has warned about misuse, job disruption and the possibility of losing control of advanced systems.
Sources & photo credit
Biography and references ↗Biography and contributions ↗Photo: Cmichel67. CC BY-SA 4.0 · Original image. Cropped and displayed in monochrome.
